Institution
University at Buffalo
Education•Buffalo, New York, United States•
About: University at Buffalo is a education organization based out in Buffalo, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 33773 authors who have published 63840 publications receiving 2278954 citations. The organization is also known as: UB & State University of New York at Buffalo.
Papers published on a yearly basis
Papers
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TL;DR: Indirect immunofluorescent (IF) staining revealed that in 14 of 16 patients with active lesions of bullous pemphigoid the sera contained antibodies specific for the basement zone beneath stratified squamous epithelium while the patients in remission contained no demonstrable antibodies.
Abstract: Indirect immunofluorescent (IF) staining revealed that in 14 of 16 patients with active lesions of bullous pemphigoid the sera contained antibodies specific for the basement zone beneath stratified squamous epithelium while the sera from six patients in remission contained no demonstrable antibodies. The sera of 18 patients with dermatitis herpetiformis and 94 patients with various bullous and nonbullous dermatoses yielded negative reactions to the basement zone by indirect IF staining. In four of five skin biopsy specimens from patients with bullous pemphigoid direct IF staining indicated that γ-globulin had been bound in vivo to the basement zone.
437 citations
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TL;DR: The purpose of this study was to investigate disability in persons after stroke by using combinations of functional assessment item, subscale, domain, and full-scale scores, to predict (1) the burden of care measured in minutes of assistance provided per day by another person in the home, and (2) the subject's level of satisfaction with life in general.
437 citations
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TL;DR: The Pacific/North American (PNA) teleconnection index, a measure of the strength and phase of the PNA teleconnection pattern, is related to the variations of the surface climate of the United States from 1947 through 1982 for the autumn, winter, and spring months when the pNA is a main mode of Northern Hemisphere mid-tropospheric variability as discussed by the authors.
Abstract: The Pacific/North American (PNA) teleconnection index, a measure of the strength and phase of the PNA teleconnection pattern, is related to the variations of the surface climate of the United States from 1947 through 1982 for the autumn, winter, and spring months when the PNA is a main mode of Northern Hemisphere midtropospheric variability. The results demonstrate that the PNA index is highly correlated with both regional temperature and precipitation. The strongest, most extensive correlations between the index and temperature are observed in winter, but large areas of the country show important associations during the spring and autumn as well. Although the centers of highest correlation migrate systematically with changes in the circumpolar vortex over the course of the annual cycle, the southeastern and northwestern parts of the United States possess consistently high index-temperature correlations. Correlations between the PNA index and precipitation are weaker and less extensive than those...
436 citations
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TL;DR: The results show that 9-month-olds are sensitive to how phonotactic sequences typically align with word boundaries, and altering the stress pattern of the stimuli reverses infants' preference for phonOTactic cluster types, and the prosodic cue to segmentation is more strongly relied upon than the phonotact cue.
436 citations
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TL;DR: In this paper, a Bayesian formulation for incorporating soft model assignments into the calculation of affinities is presented. And the resulting soft model assignment is integrated into the multilevel segmentation by weighted aggregation algorithm, and applied to the task of detecting and segmenting brain tumor and edema in multichannel magnetic resonance (MR) volumes.
Abstract: We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation methods and top-down generative model based approaches. The main contribution of the paper is a Bayesian formulation for incorporating soft model assignments into the calculation of affinities, which are conventionally model free. We integrate the resulting model-aware affinities into the multilevel segmentation by weighted aggregation algorithm, and apply the technique to the task of detecting and segmenting brain tumor and edema in multichannel magnetic resonance (MR) volumes. The computationally efficient method runs orders of magnitude faster than current state-of-the-art techniques giving comparable or improved results. Our quantitative results indicate the benefit of incorporating model-aware affinities into the segmentation process for the difficult case of glioblastoma multiforme brain tumor.
436 citations
Authors
Showing all 34002 results
Name | H-index | Papers | Citations |
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Rakesh K. Jain | 200 | 1467 | 177727 |
Julie E. Buring | 186 | 950 | 132967 |
Anil K. Jain | 183 | 1016 | 192151 |
Donald G. Truhlar | 165 | 1518 | 157965 |
Roger A. Nicoll | 165 | 397 | 84121 |
Bruce L. Miller | 163 | 1153 | 115975 |
David R. Holmes | 161 | 1624 | 114187 |
Suvadeep Bose | 154 | 960 | 129071 |
Ashok Kumar | 151 | 5654 | 164086 |
Philip S. Yu | 148 | 1914 | 107374 |
Hugh A. Sampson | 147 | 816 | 76492 |
Aaron Dominguez | 147 | 1968 | 113224 |
Gregory R Snow | 147 | 1704 | 115677 |
J. S. Keller | 144 | 981 | 98249 |
C. Ronald Kahn | 144 | 525 | 79809 |